- perf_stats aggregator lives in eval/, not model/: the import failed silently and EVERY perf column was empty (not just ttft). Now warns on stderr instead of swallowing. - repeats > 1 get their own checkpoint key (:rep2, :rep3, ...): repeat 2 previously restored repeat 1's predictions and finished instantly with identical scores. rep1 keeps the legacy key (existing checkpoints still resume). - repeats summary: report the MEAN score and aggregate time/tokens over ALL runs (was: last run only). - README: six-benchmark command as the primary example. Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
816 B
Python
28 lines
816 B
Python
"""Winogrande (official source: allenai/winogrande, winogrande_xl)."""
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from ..sample import Sample
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from ..registry import register_dataset
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from ..spec import DatasetSpec
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@register_dataset(
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DatasetSpec(
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name='winogrande',
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source='allenai/winogrande', # official: https://huggingface.co/datasets/allenai/winogrande
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subset='winogrande_xl',
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split='validation',
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task_type='mcq',
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tags=['commonsense', 'coreference'],
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description='Winogrande XL binary coreference (official).',
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)
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)
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def winogrande():
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def to_sample(record: dict) -> Sample:
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return Sample(
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input=record['sentence'],
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choices=[record['option1'], record['option2']],
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target={'1': 'A', '2': 'B'}[record['answer']],
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)
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return to_sample
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